Performance Numbers Worth Knowing
When you design software to achieve a particular level of performance, it can be a good idea to be familiar with the general speed regimes you are working with: funda...
Similar Articles (10 found)
π 64.3% similar
AWS costs every programmer should know
The title for this blog post is a direct reference to Latency Numbers Every Programmer Should Know. There are s...
π 56.1% similar
Why Classical Machine Learning Still Matters
In an era of GPU supremacy, why do real-world business cases depend so much on classical machine learning...
π 56.1% similar
how AWS S3 serves 1 petabyte per second on top of slow HDDs
Learn how Amazon built the backbone of the modern web that scales to 1 PB/s and 150M QPS o...
π 53.8% similar
How We Saved $500,000 Per Year by Rolling Our Own βS3β
tl;dr
We used S3 as a landing zone for Nanitβs video processing pipeline (baby sleep-state infe...
π 52.0% similar
Use One Big Server
A lot of ink is spent on the "monoliths vs. microservices" debate, but the real issue behind this debate is about whether distribut...
π 52.0% similar
10 Smart Performance Hacks For Faster Python Code
This is a guest post from Dido Grigorov, a deep learning engineer and Python programmer with 17 year...
π 51.7% similar
Development Speed Is Not a Bottleneck
Big part of discussion around vibe coding revolves around pace of development while it was never a key constrain...
π 51.5% similar
Your non-linear problem of 90% utilization
Suppose a web server is running at 50% of its full capacity. Browser traffic doesnβt arrive in regular, smo...
π 51.4% similar
Evaluating LLMs for my personal use case
Summary
Itβs great that AI can win maths Olympiads, but thatβs not what Iβm doing. I mostly ask basic Rust, P...
π 50.9% similar
Production Twitter on One Machine? 100Gbps NICs and NVMe are fast
In this post Iβll attempt the fun stunt of designing a system that could serve the f...